CN109375215A - Interior life entity detection method, device, computer equipment and storage medium - Google Patents
Interior life entity detection method, device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN109375215A CN109375215A CN201811173384.1A CN201811173384A CN109375215A CN 109375215 A CN109375215 A CN 109375215A CN 201811173384 A CN201811173384 A CN 201811173384A CN 109375215 A CN109375215 A CN 109375215A
- Authority
- CN
- China
- Prior art keywords
- measured
- signal
- life entity
- car
- freuqncy signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 71
- 238000000034 method Methods 0.000 claims abstract description 22
- 230000008030 elimination Effects 0.000 claims abstract description 13
- 238000003379 elimination reaction Methods 0.000 claims abstract description 13
- 238000004590 computer program Methods 0.000 claims description 20
- 230000000241 respiratory effect Effects 0.000 claims description 17
- 230000000694 effects Effects 0.000 claims description 9
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 8
- 230000001550 time effect Effects 0.000 claims description 8
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 239000007787 solid Substances 0.000 abstract description 4
- 238000012360 testing method Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 235000013399 edible fruits Nutrition 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000006854 communication Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000007717 exclusion Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- VIKNJXKGJWUCNN-XGXHKTLJSA-N norethisterone Chemical compound O=C1CC[C@@H]2[C@H]3CC[C@](C)([C@](CC4)(O)C#C)[C@@H]4[C@@H]3CCC2=C1 VIKNJXKGJWUCNN-XGXHKTLJSA-N 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6893—Cars
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
- G01S13/581—Velocity or trajectory determination systems; Sense-of-movement determination systems using transmission of interrupted pulse modulated waves and based upon the Doppler effect resulting from movement of targets
- G01S13/582—Velocity or trajectory determination systems; Sense-of-movement determination systems using transmission of interrupted pulse modulated waves and based upon the Doppler effect resulting from movement of targets adapted for simultaneous range and velocity measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
- G01S13/583—Velocity or trajectory determination systems; Sense-of-movement determination systems using transmission of continuous unmodulated waves, amplitude-, frequency-, or phase-modulated waves and based upon the Doppler effect resulting from movement of targets
- G01S13/584—Velocity or trajectory determination systems; Sense-of-movement determination systems using transmission of continuous unmodulated waves, amplitude-, frequency-, or phase-modulated waves and based upon the Doppler effect resulting from movement of targets adapted for simultaneous range and velocity measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/66—Radar-tracking systems; Analogous systems
- G01S13/72—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/35—Details of non-pulse systems
- G01S7/352—Receivers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/35—Details of non-pulse systems
- G01S7/352—Receivers
- G01S7/354—Extracting wanted echo-signals
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Veterinary Medicine (AREA)
- Physiology (AREA)
- Cardiology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Electromagnetism (AREA)
- Pulmonology (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The present invention relates to interior life entity detection method, device, computer equipment and storage medium, this method includes obtaining to have the MMW RADAR SIGNAL USING for installing the transmitting of the millimetre-wave radar equipment above seat in the car to encounter object to be measured and reflected signal；The MMW RADAR SIGNAL USING of signal and transmitting to acquisition carries out Frequency mixing processing, to form intermediate-freuqncy signal；The relevant information of object under test is obtained according to intermediate-freuqncy signal；The tracking and interference elimination processing of object under test are carried out, according to the relevant information of object under test to obtain processing result；Judge car whether with the presence of life entity according to processing result；If so, sending alarm signal.The present invention realizes the presence for detecting noiseless life entity, reduces since driver inattention causes occupant's life to be locked in car, and reduce and omit passengers inside the car since the solids such as seat block, improves Detection accuracy.
Description
Technical field
The present invention relates to interior life entity detection methods, more specifically refer to interior life entity detection method, device, meter
Calculate machine equipment and storage medium.
Background technique
It is all fitted without occupant's detection sensor when domestic automobile dispatches from the factory at present, driver can only be sought and with the naked eye watched
Whether there are personnel to stay on vehicle, and human eye often omits personnel since seat and inside cards etc. block, and causes personnel
It is stranded, and cause casualties, in order to reduce such case, dress market also has part counte-rplan to these things after automobile
Therefore improvement is made, camera, the schemes such as single-sensor car life entity survey meter, existing single-sensor vehicle are such as onboard installed
Interior life entity survey meter, which is directly used in automobile, all has some problems, such as: sound wave car life entity survey meter need by
Tired person actively makes a sound or shakes, and is easy to be interfered by ambient noise and generates erroneous judgement；Infrared car life entity detection
Instrument can not distinguish people and background in summer, to having seat to block or other block and are easy to produce erroneous judgement.Existing use surpasses
The mode of the multiple sensors such as sound wave combination infrared induction joint judgement, equally cannot avoid the environment of respective sensor from limiting completely
System, and considerably increase the complexity and installation maintenance cost of interior sensing system layout.
Therefore, it is necessary to design a kind of new method, the presence of life entity in probe vehicles is realized, reduce due to driver inattention
Cause occupant's life to be locked in car, and reduce and omit passengers inside the car since the solids such as seat block, improves detection
Accuracy rate.
Summary of the invention
It is an object of the invention to overcome the deficiencies of existing technologies, interior life entity detection method, device, computer are provided
Equipment and storage medium.
To achieve the above object, the invention adopts the following technical scheme: interior life entity detection method, comprising:
It is to be measured that acquisition has the MMW RADAR SIGNAL USING for installing the transmitting of the millimetre-wave radar equipment above seat in the car to encounter
Target and reflected signal；
The MMW RADAR SIGNAL USING of signal and transmitting to acquisition carries out Frequency mixing processing, to form intermediate-freuqncy signal；
The relevant information of object to be measured is obtained according to intermediate-freuqncy signal；
The tracking and interference elimination processing of object to be measured are carried out, according to the relevant information of object to be measured to obtain processing knot
Fruit；
Judge car whether with the presence of life entity according to processing result；
If so, sending alarm signal.
Its further technical solution are as follows: the relevant information includes the distance, phase, motion information, breathing of object to be measured
With the micromotion feature of heart rate.
Its further technical solution are as follows: the relevant information that object to be measured is obtained according to intermediate-freuqncy signal, comprising:
The delay time effect of intermediate-freuqncy signal is parsed, to obtain the distance of object to be measured；
Phase processor is surveyed using radar target to intermediate-freuqncy signal, to obtain the phase of object to be measured；
Intermediate-freuqncy signal is parsed using Doppler effect, to obtain the motion information of object to be measured；
The parsing of micro-doppler information is carried out to intermediate-freuqncy signal, to obtain the micromotion feature of object to be measured.
Its further technical solution are as follows: described that the tracking of object to be measured is carried out according to the relevant information of object to be measured and is done
Exclusion processing is disturbed, to obtain processing result, comprising:
Positioning is tracked to object to be measured by Kalman filter theory；
It rejects motion information and is unsatisfactory for desired object to be measured, to form the first object to be selected；
The micromotion feature of first object to be selected is matched with human heart rate and respiratory characteristic；
The micromotion feature first to be selected object inconsistent with human heart rate and respiratory characteristic is rejected, it is to be selected to form second
Object；
It rejects distance and phase is unsatisfactory for the second object to be selected of setting range, to form processing result.
The present invention also provides interior life entity detection devices, comprising:
Signal acquiring unit has the millimeter wave for installing the transmitting of the millimetre-wave radar equipment above seat in the car for obtaining
Radar signal encounters object to be measured and reflected signal；
Signal processing unit carries out Frequency mixing processing for the signal to acquisition and the MMW RADAR SIGNAL USING of transmitting, with shape
At intermediate-freuqncy signal；
Information acquisition unit, for obtaining the relevant information of object to be measured according to intermediate-freuqncy signal；
Processing result acquiring unit, for carrying out the tracking and interference of object to be measured according to the relevant information of object to be measured
Exclusion processing, to obtain processing result；
Judging unit, for judging car whether with the presence of life entity according to processing result；
Alarm unit is used for if so, sending alarm signal；
Notification unit, for if it is not, then sending notification signal.
Its further technical solution are as follows: the information acquisition unit includes:
Distance obtains subelement, parses for the delay time effect to intermediate-freuqncy signal, to obtain object to be measured
Distance；
Phase obtains subelement, for surveying phase processor using radar target to intermediate-freuqncy signal, to obtain the phase of object to be measured
Position；
First parsing subunit, for being parsed to intermediate-freuqncy signal using Doppler effect, to obtain object to be measured
Motion information；
Second parsing subunit, for carrying out the parsing of micro-doppler information to intermediate-freuqncy signal, to obtain the micro- of object to be measured
Motion feature.
Its further technical solution are as follows: the processing result acquiring unit includes:
Locator unit, for being tracked positioning to object to be measured by Kalman filter theory；
First rejects subelement, desired object to be measured is unsatisfactory for for rejecting motion information, to form the first object to be selected
Body；
A coupling subelement, for carrying out the micromotion feature of the first object to be selected and human heart rate and respiratory characteristic
Match；
Second rejects subelement, for rejecting inconsistent first to be selected of micromotion feature and human heart rate and respiratory characteristic
Object, to form the second object to be selected；
Third rejects subelement, is unsatisfactory for the second object to be selected of setting range for rejecting distance and phase, to be formed
Processing result.
The present invention also provides a kind of computer equipment, the computer equipment includes memory and processor, described to deposit
Computer program is stored on reservoir, the processor realizes above-mentioned method when executing the computer program.
The present invention also provides a kind of storage medium, the storage medium is stored with computer program, the computer journey
Sequence can realize above-mentioned method when being executed by processor.
Compared with the prior art, the invention has the advantages that: the signal that the present invention is reflected by obtaining object to be measured, it is right
The signal carries out Frequency mixing processing, and the relevant information of object to be measured is analyzed in obtained intermediate-freuqncy signal, carries out to the relevant information
Interference elimination processing, the object to be measured met the requirements if it exists send alarm signal then to remind, realize and detect noiseless life
The presence of body is reduced since driver inattention causes occupant's life to be locked in car, and is reduced since the solids such as seat hide
It keeps off and omits passengers inside the car, improve Detection accuracy.
The invention will be further described in the following with reference to the drawings and specific embodiments.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the application scenarios schematic diagram of interior life entity detection method provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of interior life entity detection method provided in an embodiment of the present invention；
Fig. 3 is the sub-process schematic diagram of interior life entity detection method provided in an embodiment of the present invention；
Fig. 4 is the sub-process schematic diagram of interior life entity detection method provided in an embodiment of the present invention；
Fig. 5 is the schematic block diagram of interior life entity detection device provided in an embodiment of the present invention；
Fig. 6 is the schematic block diagram of the information acquisition unit of interior life entity detection device provided in an embodiment of the present invention；
Fig. 7 is the schematic frame of the processing result acquiring unit of interior life entity detection device provided in an embodiment of the present invention
Figure；
Fig. 8 is the schematic block diagram of computer equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this description of the invention merely for the sake of description specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
Fig. 1 and Fig. 2 are please referred to, Fig. 1 is that the application scenarios of interior life entity detection method provided in an embodiment of the present invention show
It is intended to.Fig. 2 is the schematic flow chart of interior life entity detection method provided in an embodiment of the present invention.Car life entity detection
Method is applied in server.The server can be a server in Distributed Services platform, dispose in the server
There is interior life entity test platform, which is sent to service for the MMW RADAR SIGNAL USING for emitting signal and reflection
In device, so that server can be handled to carry out interior life the MMW RADAR SIGNAL USING of transmitting signal and reflection
Body detection, and detection result is sent to prompting terminal, such as user terminal and/or indicator light and/or alarm.
It should be noted that only illustrating a server in Fig. 2, in the actual operation process, monitoring server can
It is handled with the MMW RADAR SIGNAL USING to multiple radar detedtors transmitting signal sent and reflection, it is comprehensive to carry out
Interior life entity detection.
Fig. 2 is the flow diagram of interior life entity detection method provided in an embodiment of the present invention.As shown in Fig. 2, the party
Method includes the following steps S110 to S170.
S110, acquisition have the MMW RADAR SIGNAL USING for installing the transmitting of the millimetre-wave radar equipment above seat in the car to encounter
Object to be measured and reflected signal.
In the present embodiment, signal is emitted by the millimetre-wave radar equipment that millimetre-wave radar antenna and controller form, it should
Signal is also the electromagnetic signal of millimetre-wave radar, is transmitted path in the electromagnetic signal communication process of millimetre-wave radar equipment transmitting
On object blocking reflected, server can obtain the signal of object to be measured reflection in reflection process.It is used in raw in detection vehicle
When life, several millimetre-wave radar equipment are installed on car, can all detect the life deployment scenarios of vehicle.The millimeter wave thunder
FMCW (CW with frequency modulation, Frequency Modulated Continuous Wave) frequency modulation technology is used up to equipment, so that thunder
It is increased up to the frequency that signal occurs is linear at any time in one cycle, which includes a synthesizer,
The synthesizer is for generating a chirp pulse signal, that is, MMW RADAR SIGNAL USING；Millimetre-wave radar antenna includes
Transmitting antenna and receiving antenna, transmitting antenna is for emitting chirp pulse signal；Receiving antenna captures the anti-of object to be measured
Signal is penetrated, a reflecting linear chirp signal is generated；Millimetre-wave radar has not by the gentle characteristic for waiting interference of light, benefit
Can be to human heart rate under stationary state with micro-doppler technology, the features such as breathing are checked, walking, the swing that can also check
Etc. the presence that any shift action judges interior vital sign；Seat etc. is blocked with penetrability；Life can be measured simultaneously
Position existing for feature avoids the mistake survey to target outside vehicle from causing false alarm.
S120, Frequency mixing processing is carried out to the signal of acquisition and the MMW RADAR SIGNAL USING of transmitting, to form intermediate-freuqncy signal.
In the present embodiment, which is that the signal of the MMW RADAR SIGNAL USING and object to be measured reflection by emitting passes through
The signal of frequency mixer generation is crossed, which includes metrical information and be convenient for subsequent processing.
Obtain the chirp pulse signal of millimetre-wave radar equipment transmitting.
In the present embodiment, transmitting signal is x1；The signal of object to be measured reflection is x2；In being exported after frequency mixer
Frequency signal xout；The relationship of this three is as follows: x1=sin (ω1t+φ1)；x2=sin (ω2t+φ2)；xout=sin [(ω1-
ω2)t+(φ1-φ2)]；It follows that the intermediate-freuqncy signal includes the relevant information of object to be measured.
S130, the relevant information that object to be measured is obtained according to intermediate-freuqncy signal.
In the present embodiment, above-mentioned relevant information includes distance, phase, motion information, breathing and the heart of object to be measured
The micromotion feature of rate.
In one embodiment, as shown in figure 3, above-mentioned step S130 may include step S131~S134.
S131, the delay time effect of intermediate-freuqncy signal is parsed, to obtain the distance of object to be measured.
The reception in Fourier transformation, that is, corresponding intermediate-freuqncy signal is specifically done according to delay time using intermediate-freuqncy signal
The distance spectrum of signal does integral operation and obtains distance, to obtain the distance of object to be measured.Specifically, radar is accurately measured from electricity
For magnetic wave emission time to the delay time for receiving the echo moment, this delay time is electromagnetic wave from transmitting antenna to mesh to be measured
Mark, then the propagation time by object to be measured return receiving antenna.According to electromagnetic wave propagation speed, the distance of target can be determined
Are as follows: S=CT/2, wherein S is the distance of object to be measured, and T is round trip propagation time of the electromagnetic wave from radar to object to be measured, and C is
The light velocity.
S132, phase processor is surveyed using radar target to intermediate-freuqncy signal, to obtain the phase of object to be measured.
Using the millimetre-wave radar equipment of the more receiving antennas of multi-emitting, phase general principle is surveyed according to radar target, parses mesh
Target azimuth information.Specifically utilize the phase of the frequency of intermediate-freuqncy signal and phase information measurement object to be measured.
S133, intermediate-freuqncy signal is parsed using Doppler effect, to obtain the motion information of object to be measured.
When the phase of object to be measured and distance change within a certain period of time, then the object to be measured is in mobile shape
State, Doppler effect are exactly to see when the vibration sources such as sound, light and radio wave and observer are with relative velocity V relative motion
The vibration frequency that survey person is received and the frequency that vibration source is issued are different.When the impulse wave of one fixed frequency of radar emission
When to sky scanning, mobile object to be measured is such as encountered, the frequency of echo and the frequency frequency of occurrences of transmitted wave are poor, referred to as Doppler
Frequency can measure object to be measured to the diametrically movement velocity of radar according to the size of Doppler frequency；With frequency filter side
Method detects the Doppler frequency spectral line of target, filters out the spectral line of interference noise, radar can be made to tell mesh to be measured from strong clutter
Target movable signal, to obtain the motion information of object to be measured, such as the information such as speed.
S134, the parsing of micro-doppler information is carried out to intermediate-freuqncy signal, to obtain the micromotion feature of object to be measured.
When object to be measured exist the micromotions such as breathing, heartbeat, according to this micromotion reflection MMW RADAR SIGNAL USING
On cause additional frequency to carry out micro-doppler modulation, to parse micromotion feature.Specifically can from transmitting signal through to
It surveys the base band echo in target after certain scattering point scattering and obtains micro-doppler frequency caused by object to be measured micromotion, to acquisition
Micro-doppler frequency carry out amplitude, frequency modulation(PFM), and integrated, to obtain base band echo, then by base band echo obtain to
Survey the micromotion feature of target.
S140, the tracking and interference elimination processing that object to be measured is carried out according to the relevant information of object to be measured, to obtain
Processing result.
In one embodiment, as shown in figure 4, above-mentioned step S140 may include S141~S145.
S141, positioning is tracked to object to be measured by Kalman filter theory.
To object to be measured carry out tracking and positioning, be conducive to it is subsequent in real time to the relevant information of object to be measured carry out judgement and more
Newly, to improve the accuracy detected.
S142, the object to be measured that motion information is unsatisfactory for requirement is rejected, to form the first object to be selected.
In the present embodiment, the first object to be measured to be selected for object referring to motion information and meeting the requirements.
The movement speed range an of standard can be preset in server, if the speed in the motion information of object to be measured
It not within the scope of the movement speed of standard, is then rejected, to retain the object to be measured met the requirements, forms the first object to be selected
Body reduces the False Rate of detection with exclusive PCR.
S143, the micromotion feature of the first object to be selected is matched with human heart rate and respiratory characteristic.
In the present embodiment, the micromotion feature of the first object to be selected is matched with human heart rate and respiratory characteristic,
Comparison benchmark is found to the micromotion feature of the first object to be selected, to judge which is satisfactory, which is not meet to want
It asks.
S144, micromotion feature and human heart rate and inconsistent the first object to be selected of respiratory characteristic are rejected, to form the
Two objects to be selected.
The first object to be selected for being unsatisfactory for requiring is eliminated, the micromotion inconsistent with human body respiration and heart rate feature is excluded
Target jamming can exclude erroneous judgement caused by car body vibration etc., to improve the accuracy rate of detection.
S145, rejecting distance and phase are unsatisfactory for the second object to be selected of setting range, to form processing result.
The distance and phase for measuring target object define the bounds of vehicle, exclude the interference such as personnel of walking about outside vehicle, row
It is judged by accident caused by target in addition to vehicle, realizes high detection accuracy rate and low false detection rate.
S150, judge car whether with the presence of life entity according to processing result.
If the processing result deleted is there are the second object to be selected, car has life entity.
S160, if so, send alarm signal.
It in the present embodiment, can be by the flashing of the sound and/or indicator light of alarm to remind.
S170, if it is not, then sending notification signal.
It in the present embodiment, can be by the flashing and/or mobile terminal of different indicator lights to prompt.
Above-mentioned alarm, indicator light and mobile terminal belongs to remind terminal.
Above-mentioned interior life entity detection method is mixed the signal by obtaining the signal of object to be measured reflection
The relevant information of object to be measured is analyzed in processing in obtained intermediate-freuqncy signal, carries out interference elimination processing to the relevant information, if
In the presence of the object to be measured met the requirements, then send alarm signal to remind, realize the presence for detecting noiseless life entity, reduce by
Cause occupant's life to be locked in car in driver inattention, and reduces and omit people on vehicle since the solids such as seat block
Member improves Detection accuracy.
Fig. 5 is a kind of schematic block diagram of interior life entity detection device 300 provided in an embodiment of the present invention.Such as Fig. 5 institute
Show, correspond to the above interior life entity detection method, the present invention also provides a kind of interior life entity detection devices 300.The car
Life entity detection device 300 includes the unit for executing above-mentioned interior life entity detection method, which can be configured in
In server.
Specifically, referring to Fig. 5, the car life entity detection device 300, comprising:
Signal acquiring unit 301 has the milli for installing the transmitting of the millimetre-wave radar equipment above seat in the car for obtaining
Metre wave radar signal encounters object to be measured and reflected signal；
Signal processing unit 302 carries out Frequency mixing processing for the signal to acquisition and the MMW RADAR SIGNAL USING of transmitting, with
Form intermediate-freuqncy signal；
Information acquisition unit 303, for obtaining the relevant information of object to be measured according to intermediate-freuqncy signal；
Processing result acquiring unit 304, for according to the relevant information of object to be measured carry out object to be measured tracking and
Interference elimination processing, to obtain processing result；
Judging unit 305, for judging car whether with the presence of life entity according to processing result；
Alarm unit 306 is used for if so, sending alarm signal；
Notification unit 307, for if it is not, then sending notification signal.
In one embodiment, as shown in fig. 6, information acquisition unit 303 includes:
Distance obtains subelement 3031, parses for the delay time effect to intermediate-freuqncy signal, to obtain mesh to be measured
Target distance；
Phase obtains subelement 3032, for surveying phase processor using radar target to intermediate-freuqncy signal, to obtain object to be measured
Phase；
First parsing subunit 3033, for being parsed to intermediate-freuqncy signal using Doppler effect, to obtain mesh to be measured
Target motion information；
Second parsing subunit 3034, for carrying out the parsing of micro-doppler information to intermediate-freuqncy signal, to obtain object to be measured
Micromotion feature.
In one embodiment, as shown in fig. 7, the processing result acquiring unit 304 includes:
Locator unit 3041, for being tracked positioning to object to be measured by Kalman filter theory；
First reject subelement 3042, for reject motion information be unsatisfactory for require object to be measured, with formed first to
Select object；
Coupling subelement 3043, for carrying out the micromotion feature of the first object to be selected and human heart rate and respiratory characteristic
Matching；
Second rejects subelement 3044, for reject micromotion feature and human heart rate and respiratory characteristic it is inconsistent first
Object to be selected, to form the second object to be selected；
Third rejects subelement 3045, is unsatisfactory for the second object to be selected of setting range for rejecting distance and phase, with
Form processing result.
It should be noted that it is apparent to those skilled in the art that, above-mentioned car life entity detection dress
The specific implementation process of 300 and each unit is set, it can be with reference to the corresponding description in preceding method embodiment, for convenience of description
With it is succinct, details are not described herein.
Above-mentioned car life entity detection device 300 can be implemented as a kind of form of computer program, the computer program
It can be run in computer equipment as shown in Figure 8.
Referring to Fig. 8, Fig. 8 is a kind of schematic block diagram of computer equipment provided by the embodiments of the present application.The computer
Equipment 500 is server, wherein server can be independent server, be also possible to the server of multiple server compositions
Cluster.
Refering to Fig. 8, which includes processor 502, memory and the net connected by system bus 501
Network interface 505, wherein memory may include non-volatile memory medium 503 and built-in storage 504.
The non-volatile memory medium 503 can storage program area 5031 and computer program 5032.The computer program
5032 include program instruction, which is performed, and processor 502 may make to execute a kind of interior life entity detection side
Method.
The processor 502 is for providing calculating and control ability, to support the operation of entire computer equipment 500.
The built-in storage 504 provides environment for the operation of the computer program 5032 in non-volatile memory medium 503, should
When computer program 5032 is executed by processor 502, processor 502 may make to execute a kind of interior life entity detection method.
The network interface 505 is used to carry out network communication with other equipment.It will be understood by those skilled in the art that in Fig. 8
The structure shown, only the block diagram of part-structure relevant to application scheme, does not constitute and is applied to application scheme
The restriction of computer equipment 500 thereon, specific computer equipment 500 may include more more or fewer than as shown in the figure
Component perhaps combines certain components or with different component layouts.
Wherein, the processor 502 is for running computer program 5032 stored in memory, to realize following step
It is rapid:
It is to be measured that acquisition has the MMW RADAR SIGNAL USING for installing the transmitting of the millimetre-wave radar equipment above seat in the car to encounter
Target and reflected signal；
The MMW RADAR SIGNAL USING of signal and transmitting to acquisition carries out Frequency mixing processing, to form intermediate-freuqncy signal；
The relevant information of object to be measured is obtained according to intermediate-freuqncy signal；
The tracking and interference elimination processing of object to be measured are carried out, according to the relevant information of object to be measured to obtain processing knot
Fruit；
Judge car whether with the presence of life entity according to processing result；
If so, sending alarm signal.
Wherein, the relevant information include the distance of object to be measured, phase, motion information, breathing and heart rate micromotion
Feature.
In one embodiment, processor 502 is realizing the relevant information step that object to be measured is obtained according to intermediate-freuqncy signal
When rapid, it is implemented as follows step:
The delay time effect of intermediate-freuqncy signal is parsed, to obtain the distance of object to be measured；
Phase processor is surveyed using radar target to intermediate-freuqncy signal, to obtain the phase of object to be measured；
Intermediate-freuqncy signal is parsed using Doppler effect, to obtain the motion information of object to be measured；
The parsing of micro-doppler information is carried out to intermediate-freuqncy signal, to obtain the micromotion feature of object to be measured.
In one embodiment, processor 502 described carries out object to be measured according to the relevant information of object to be measured realizing
Tracking and interference elimination processing, when obtaining processing result step, are implemented as follows step:
Positioning is tracked to object to be measured by Kalman filter theory；
It rejects motion information and is unsatisfactory for desired object to be measured, to form the first object to be selected；
The micromotion feature of first object to be selected is matched with human heart rate and respiratory characteristic；
The micromotion feature first to be selected object inconsistent with human heart rate and respiratory characteristic is rejected, it is to be selected to form second
Object；
It rejects distance and phase is unsatisfactory for the second object to be selected of setting range, to form processing result.
It should be appreciated that in the embodiment of the present application, processor 502 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..Wherein, general processor can be microprocessor or
Person's processor is also possible to any conventional processor etc..
Those of ordinary skill in the art will appreciate that be realize above-described embodiment method in all or part of the process,
It is that relevant hardware can be instructed to complete by computer program.The computer program includes program instruction, computer journey
Sequence can be stored in a storage medium, which is computer readable storage medium.The program instruction is by the department of computer science
At least one processor in system executes, to realize the process step of the embodiment of the above method.
Therefore, the present invention also provides a kind of storage mediums.The storage medium can be computer readable storage medium.This is deposited
Storage media is stored with computer program, and processor is made to execute following steps when wherein the computer program is executed by processor:
It is to be measured that acquisition has the MMW RADAR SIGNAL USING for installing the transmitting of the millimetre-wave radar equipment above seat in the car to encounter
Target and reflected signal；
The MMW RADAR SIGNAL USING of signal and transmitting to acquisition carries out Frequency mixing processing, to form intermediate-freuqncy signal；
The relevant information of object to be measured is obtained according to intermediate-freuqncy signal；
The tracking and interference elimination processing of object to be measured are carried out, according to the relevant information of object to be measured to obtain processing knot
Fruit；
Judge car whether with the presence of life entity according to processing result；
If so, sending alarm signal.
Wherein, the relevant information include the distance of object to be measured, phase, motion information, breathing and heart rate micromotion
Feature.
In one embodiment, the processor is realized and described is obtained according to intermediate-freuqncy signal executing the computer program
When the relevant information step of object to be measured, it is implemented as follows step:
The delay time effect of intermediate-freuqncy signal is parsed, to obtain the distance of object to be measured；
Phase processor is surveyed using radar target to intermediate-freuqncy signal, to obtain the phase of object to be measured；
Intermediate-freuqncy signal is parsed using Doppler effect, to obtain the motion information of object to be measured；
The parsing of micro-doppler information is carried out to intermediate-freuqncy signal, to obtain the micromotion feature of object to be measured.
In one embodiment, the processor realizes the phase according to object to be measured executing the computer program
Tracking and interference elimination processing that information carries out object to be measured are closed, when obtaining processing result step, is implemented as follows step
It is rapid:
Positioning is tracked to object to be measured by Kalman filter theory；
It rejects motion information and is unsatisfactory for desired object to be measured, to form the first object to be selected；
The micromotion feature of first object to be selected is matched with human heart rate and respiratory characteristic；
The micromotion feature first to be selected object inconsistent with human heart rate and respiratory characteristic is rejected, it is to be selected to form second
Object；
It rejects distance and phase is unsatisfactory for the second object to be selected of setting range, to form processing result.
The storage medium can be USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), magnetic disk
Or the various computer readable storage mediums that can store program code such as CD.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, each exemplary composition and step are generally described according to function in the above description.This
A little functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Specially
Industry technical staff can use different methods to achieve the described function each specific application, but this realization is not
It is considered as beyond the scope of this invention.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary.For example, the division of each unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation.Such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.
The steps in the embodiment of the present invention can be sequentially adjusted, merged and deleted according to actual needs.This hair
Unit in bright embodiment device can be combined, divided and deleted according to actual needs.In addition, in each implementation of the present invention
Each functional unit in example can integrate in one processing unit, is also possible to each unit and physically exists alone, can also be with
It is that two or more units are integrated in one unit.
If the integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product,
It can store in one storage medium.Based on this understanding, technical solution of the present invention is substantially in other words to existing skill
The all or part of part or the technical solution that art contributes can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, terminal or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (9)
1. interior life entity detection method characterized by comprising
Obtaining has the MMW RADAR SIGNAL USING for installing the transmitting of the millimetre-wave radar equipment above seat in the car to encounter object to be measured
And reflected signal；
The MMW RADAR SIGNAL USING of signal and transmitting to acquisition carries out Frequency mixing processing, to form intermediate-freuqncy signal；
The relevant information of object to be measured is obtained according to intermediate-freuqncy signal；
The tracking and interference elimination processing of object to be measured are carried out, according to the relevant information of object to be measured to obtain processing result；
Judge car whether with the presence of life entity according to processing result；
If so, sending alarm signal.
2. car life entity detection method according to claim 1, which is characterized in that the relevant information includes mesh to be measured
Target distance, phase, motion information, the micromotion feature of breathing and heart rate.
3. car life entity detection method according to claim 1 or 2, which is characterized in that described to be obtained according to intermediate-freuqncy signal
Take the relevant information of object to be measured, comprising:
The delay time effect of intermediate-freuqncy signal is parsed, to obtain the distance of object to be measured；
Phase processor is surveyed using radar target to intermediate-freuqncy signal, to obtain the phase of object to be measured；
Intermediate-freuqncy signal is parsed using Doppler effect, to obtain the motion information of object to be measured；
The parsing of micro-doppler information is carried out to intermediate-freuqncy signal, to obtain the micromotion feature of object to be measured.
4. car life entity detection method according to claim 3, which is characterized in that the correlation according to object to be measured
Information carries out the tracking and interference elimination processing of object to be measured, to obtain processing result, comprising:
Positioning is tracked to object to be measured by Kalman filter theory；
It rejects motion information and is unsatisfactory for desired object to be measured, to form the first object to be selected；
The micromotion feature of first object to be selected is matched with human heart rate and respiratory characteristic；
The micromotion feature first to be selected object inconsistent with human heart rate and respiratory characteristic is rejected, to form the second object to be selected
Body；
It rejects distance and phase is unsatisfactory for the second object to be selected of setting range, to form processing result.
5. interior life entity detection device characterized by comprising
Signal acquiring unit has the millimetre-wave radar for installing the transmitting of the millimetre-wave radar equipment above seat in the car for obtaining
Signal encounters object to be measured and reflected signal；
Signal processing unit carries out Frequency mixing processing for the signal to acquisition and the MMW RADAR SIGNAL USING of transmitting, in being formed
Frequency signal；
Information acquisition unit, for obtaining the relevant information of object to be measured according to intermediate-freuqncy signal；
Processing result acquiring unit, for carrying out the tracking and interference elimination of object to be measured according to the relevant information of object to be measured
Processing, to obtain processing result；
Judging unit, for judging car whether with the presence of life entity according to processing result；
Alarm unit is used for if so, sending alarm signal；
Notification unit, for if it is not, then sending notification signal.
6. car life entity detection device according to claim 5, which is characterized in that the information acquisition unit includes:
Distance obtains subelement, parses for the delay time effect to intermediate-freuqncy signal, to obtain the distance of object to be measured；
Phase obtains subelement, for surveying phase processor using radar target to intermediate-freuqncy signal, to obtain the phase of object to be measured；
First parsing subunit, for being parsed to intermediate-freuqncy signal using Doppler effect, to obtain the movement of object to be measured
Information；
Second parsing subunit, for carrying out the parsing of micro-doppler information to intermediate-freuqncy signal, to obtain the micromotion of object to be measured
Feature.
7. car life entity detection device according to claim 5, which is characterized in that the processing result acquiring unit packet
It includes:
Locator unit, for being tracked positioning to object to be measured by Kalman filter theory；
First rejects subelement, desired object to be measured is unsatisfactory for for rejecting motion information, to form the first object to be selected；
Coupling subelement, for matching the micromotion feature of the first object to be selected with human heart rate and respiratory characteristic；
Second rejects subelement, for rejecting the micromotion feature first to be selected object inconsistent with human heart rate and respiratory characteristic
Body, to form the second object to be selected；
Third rejects subelement, is unsatisfactory for the second object to be selected of setting range for rejecting distance and phase, to form processing
As a result.
8. a kind of computer equipment, which is characterized in that the computer equipment includes memory and processor, on the memory
It is stored with computer program, the processor is realized as described in any one of claims 1 to 4 when executing the computer program
Method.
9. a kind of storage medium, which is characterized in that the storage medium is stored with computer program, and the computer program is located
Reason device can realize method according to any one of claims 1 to 4 when executing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811173384.1A CN109375215A (en) | 2018-10-09 | 2018-10-09 | Interior life entity detection method, device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811173384.1A CN109375215A (en) | 2018-10-09 | 2018-10-09 | Interior life entity detection method, device, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109375215A true CN109375215A (en) | 2019-02-22 |
Family
ID=65403878
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811173384.1A Pending CN109375215A (en) | 2018-10-09 | 2018-10-09 | Interior life entity detection method, device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109375215A (en) |
Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110058225A (en) * | 2019-04-09 | 2019-07-26 | 惠州市德赛西威智能交通技术研究院有限公司 | A kind of interior life entity detection system and method based on millimetre-wave radar |
| CN110058220A (en) * | 2019-05-05 | 2019-07-26 | 广东勘生科技有限公司 | Fire detection rescue mode and system based on millimetre-wave radar technology |
| CN110346790A (en) * | 2019-07-09 | 2019-10-18 | 长沙莫之比智能科技有限公司 | A kind of non-contact vital sign monitoring method based on millimetre-wave radar, apparatus and system |
| CN110488264A (en) * | 2019-07-05 | 2019-11-22 | 珠海格力电器股份有限公司 | Personnel's detection method, device, electronic equipment and storage medium |
| CN110579807A (en) * | 2019-09-06 | 2019-12-17 | 广汽蔚来新能源汽车科技有限公司 | living body detection method and device, computer equipment and storage medium |
| CN111505631A (en) * | 2020-06-04 | 2020-08-07 | 隔空（上海）智能科技有限公司 | Heart rate estimation algorithm based on L FMCW radar |
| CN111596378A (en) * | 2020-04-24 | 2020-08-28 | 一汽奔腾轿车有限公司 | Living body monitoring and detecting unit device |
| CN111624588A (en) * | 2020-05-27 | 2020-09-04 | 上海交通大学 | Active sound source positioning and sound signal reconstruction method and device |
| CN111812629A (en) * | 2020-07-21 | 2020-10-23 | 成都阶跃时进科技有限公司 | Living body existence detection method, living body existence detection device, living body existence detection equipment and readable storage medium |
| CN112180366A (en) * | 2020-09-29 | 2021-01-05 | 奇瑞汽车股份有限公司 | System and method for detecting vehicle overload |
| WO2021003841A1 (en) * | 2019-07-09 | 2021-01-14 | 中科传启（苏州）科技有限公司 | Living body detection method and device, and driving recorder |
| CN112298088A (en) * | 2020-10-26 | 2021-02-02 | 深圳创维汽车智能有限公司 | Method and device for monitoring abnormality of life body in vehicle and storage medium |
| CN112346053A (en) * | 2020-11-04 | 2021-02-09 | 西安宝瑞达电子科技有限责任公司 | Biological radar, sensing controller, control method, electrical equipment and storage medium |
| CN112339661A (en) * | 2020-11-04 | 2021-02-09 | 西安宝瑞达电子科技有限责任公司 | Intelligent monitoring alarm method and system for automatically detecting passengers left in automobile and application |
| CN112558031A (en) * | 2020-11-17 | 2021-03-26 | 北京木牛领航科技有限公司 | Method, system and storage medium for monitoring vital movement and physical sign |
| CN112782684A (en) * | 2020-12-31 | 2021-05-11 | 深圳大学 | Human body target detection method and device, computer equipment and storage medium |
| CN112810561A (en) * | 2019-11-18 | 2021-05-18 | 郑州宇通客车股份有限公司 | Vehicle and control system and method for preventing vehicle passengers from being left behind |
| CN113009463A (en) * | 2021-01-29 | 2021-06-22 | 杭州涂鸦信息技术有限公司 | Human body detection method and device |
| CN113017580A (en) * | 2019-12-25 | 2021-06-25 | 浙江吉利汽车研究院有限公司 | Processing method and device for passenger safety, vehicle-mounted terminal and storage medium |
| CN113093165A (en) * | 2021-04-14 | 2021-07-09 | 苏州矽典微智能科技有限公司 | In-vehicle living body detection method and system based on millimeter wave radar |
| CN113393701A (en) * | 2021-07-14 | 2021-09-14 | 深圳电目科技有限公司 | Parking lot management method, device and system |
| CN113456039A (en) * | 2021-07-30 | 2021-10-01 | 芯海科技（深圳）股份有限公司 | Vehicle-mounted vital sign early warning method and device, vehicle-mounted electronic equipment and medium |
| CN114212045A (en) * | 2021-12-13 | 2022-03-22 | 上海航盛实业有限公司 | Method and system for detecting passengers in vehicle |
| CN114407777A (en) * | 2022-01-25 | 2022-04-29 | 清研智行(北京)科技有限公司 | Living body detection method and device, storage medium and computer equipment |
| WO2022166649A1 (en) * | 2021-02-03 | 2022-08-11 | 森思泰克河北科技有限公司 | In-vehicle life detection method and apparatus, device, and storage medium |
| WO2022228165A1 (en) * | 2021-04-26 | 2022-11-03 | 南京楚航科技有限公司 | Method and apparatus for detecting living body in vehicle on basis of millimeter-wave radar |
| WO2023284764A1 (en) * | 2021-07-14 | 2023-01-19 | 森思泰克河北科技有限公司 | Method and apparatus for detecting living body in vehicle by means of radar, and terminal device |
| WO2024160078A1 (en) * | 2023-02-03 | 2024-08-08 | 华为技术有限公司 | Living body detection method and related device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003309403A (en) * | 2002-04-17 | 2003-10-31 | Hitachi Ltd | High frequency circuit board |
| CN105476602A (en) * | 2015-11-25 | 2016-04-13 | 方姝阳 | Non-contact human vital sign measurement method and device |
| CN108091099A (en) * | 2016-11-22 | 2018-05-29 | 比亚迪股份有限公司 | Alarm method, device and automobile based on interior physical sign monitoring system |
-
2018
- 2018-10-09 CN CN201811173384.1A patent/CN109375215A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003309403A (en) * | 2002-04-17 | 2003-10-31 | Hitachi Ltd | High frequency circuit board |
| CN105476602A (en) * | 2015-11-25 | 2016-04-13 | 方姝阳 | Non-contact human vital sign measurement method and device |
| CN108091099A (en) * | 2016-11-22 | 2018-05-29 | 比亚迪股份有限公司 | Alarm method, device and automobile based on interior physical sign monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 李佳晖 等: "基于雷达式非接触生命参数监测系统的安全带设计", 《科技创新与应用》 * |
Cited By (36)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110058225A (en) * | 2019-04-09 | 2019-07-26 | 惠州市德赛西威智能交通技术研究院有限公司 | A kind of interior life entity detection system and method based on millimetre-wave radar |
| CN110058220A (en) * | 2019-05-05 | 2019-07-26 | 广东勘生科技有限公司 | Fire detection rescue mode and system based on millimetre-wave radar technology |
| CN110488264A (en) * | 2019-07-05 | 2019-11-22 | 珠海格力电器股份有限公司 | Personnel's detection method, device, electronic equipment and storage medium |
| WO2021004299A1 (en) * | 2019-07-05 | 2021-01-14 | 珠海格力电器股份有限公司 | Human detection method and device, electronic apparatus, and storage medium |
| CN110346790A (en) * | 2019-07-09 | 2019-10-18 | 长沙莫之比智能科技有限公司 | A kind of non-contact vital sign monitoring method based on millimetre-wave radar, apparatus and system |
| CN110346790B (en) * | 2019-07-09 | 2022-01-28 | 长沙莫之比智能科技有限公司 | Non-contact vital sign monitoring method, device and system based on millimeter wave radar |
| WO2021003841A1 (en) * | 2019-07-09 | 2021-01-14 | 中科传启（苏州）科技有限公司 | Living body detection method and device, and driving recorder |
| CN110579807A (en) * | 2019-09-06 | 2019-12-17 | 广汽蔚来新能源汽车科技有限公司 | living body detection method and device, computer equipment and storage medium |
| CN110579807B (en) * | 2019-09-06 | 2021-07-23 | 合创汽车科技有限公司 | Living body detection method and device, computer equipment and storage medium |
| CN112810561A (en) * | 2019-11-18 | 2021-05-18 | 郑州宇通客车股份有限公司 | Vehicle and control system and method for preventing vehicle passengers from being left behind |
| CN112810561B (en) * | 2019-11-18 | 2022-08-12 | 宇通客车股份有限公司 | Vehicle and control system and method for preventing vehicle passengers from being left behind |
| CN113017580A (en) * | 2019-12-25 | 2021-06-25 | 浙江吉利汽车研究院有限公司 | Processing method and device for passenger safety, vehicle-mounted terminal and storage medium |
| CN111596378A (en) * | 2020-04-24 | 2020-08-28 | 一汽奔腾轿车有限公司 | Living body monitoring and detecting unit device |
| CN111624588A (en) * | 2020-05-27 | 2020-09-04 | 上海交通大学 | Active sound source positioning and sound signal reconstruction method and device |
| CN111624588B (en) * | 2020-05-27 | 2023-04-18 | 上海交通大学 | Active sound source positioning and sound signal reconstruction method and device |
| CN111505631B (en) * | 2020-06-04 | 2023-09-15 | 隔空（上海）智能科技有限公司 | Heart rate estimation algorithm based on LFMCW radar |
| CN111505631A (en) * | 2020-06-04 | 2020-08-07 | 隔空（上海）智能科技有限公司 | Heart rate estimation algorithm based on L FMCW radar |
| CN111812629A (en) * | 2020-07-21 | 2020-10-23 | 成都阶跃时进科技有限公司 | Living body existence detection method, living body existence detection device, living body existence detection equipment and readable storage medium |
| CN112180366A (en) * | 2020-09-29 | 2021-01-05 | 奇瑞汽车股份有限公司 | System and method for detecting vehicle overload |
| CN112298088A (en) * | 2020-10-26 | 2021-02-02 | 深圳创维汽车智能有限公司 | Method and device for monitoring abnormality of life body in vehicle and storage medium |
| CN112346053A (en) * | 2020-11-04 | 2021-02-09 | 西安宝瑞达电子科技有限责任公司 | Biological radar, sensing controller, control method, electrical equipment and storage medium |
| CN112339661A (en) * | 2020-11-04 | 2021-02-09 | 西安宝瑞达电子科技有限责任公司 | Intelligent monitoring alarm method and system for automatically detecting passengers left in automobile and application |
| CN112558031A (en) * | 2020-11-17 | 2021-03-26 | 北京木牛领航科技有限公司 | Method, system and storage medium for monitoring vital movement and physical sign |
| CN112782684A (en) * | 2020-12-31 | 2021-05-11 | 深圳大学 | Human body target detection method and device, computer equipment and storage medium |
| CN113009463A (en) * | 2021-01-29 | 2021-06-22 | 杭州涂鸦信息技术有限公司 | Human body detection method and device |
| WO2022166649A1 (en) * | 2021-02-03 | 2022-08-11 | 森思泰克河北科技有限公司 | In-vehicle life detection method and apparatus, device, and storage medium |
| CN113093165A (en) * | 2021-04-14 | 2021-07-09 | 苏州矽典微智能科技有限公司 | In-vehicle living body detection method and system based on millimeter wave radar |
| CN113093165B (en) * | 2021-04-14 | 2024-04-12 | 苏州矽典微智能科技有限公司 | In-vehicle living body detection method and system based on millimeter wave radar |
| WO2022228165A1 (en) * | 2021-04-26 | 2022-11-03 | 南京楚航科技有限公司 | Method and apparatus for detecting living body in vehicle on basis of millimeter-wave radar |
| WO2023284764A1 (en) * | 2021-07-14 | 2023-01-19 | 森思泰克河北科技有限公司 | Method and apparatus for detecting living body in vehicle by means of radar, and terminal device |
| CN113393701A (en) * | 2021-07-14 | 2021-09-14 | 深圳电目科技有限公司 | Parking lot management method, device and system |
| CN113456039A (en) * | 2021-07-30 | 2021-10-01 | 芯海科技（深圳）股份有限公司 | Vehicle-mounted vital sign early warning method and device, vehicle-mounted electronic equipment and medium |
| CN113456039B (en) * | 2021-07-30 | 2024-08-27 | 芯海科技（深圳）股份有限公司 | Vehicle-mounted vital sign early warning method and device, vehicle-mounted electronic equipment and medium |
| CN114212045A (en) * | 2021-12-13 | 2022-03-22 | 上海航盛实业有限公司 | Method and system for detecting passengers in vehicle |
| CN114407777A (en) * | 2022-01-25 | 2022-04-29 | 清研智行(北京)科技有限公司 | Living body detection method and device, storage medium and computer equipment |
| WO2024160078A1 (en) * | 2023-02-03 | 2024-08-08 | 华为技术有限公司 | Living body detection method and related device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109375215A (en) | Interior life entity detection method, device, computer equipment and storage medium | |
| US9671492B2 (en) | Radar sensing of vehicle occupancy | |
| CN112105948B (en) | Radar data processing using neural network classifier and confidence metrics | |
| US8884809B2 (en) | Personal electronic device providing enhanced user environmental awareness | |
| US9316727B2 (en) | Moving-entity detection | |
| EP3831647B1 (en) | Vehicle occupant detection device | |
| KR20200099150A (en) | Systems and methods for virtual aperture radar tracking | |
| US20150301167A1 (en) | Detection of movable objects | |
| US10405222B2 (en) | Acquiring information regarding a volume using wireless networks | |
| CN108968970A (en) | A kind of method, apparatus and radar system that Doppler's millimetre-wave radar detection human body is fallen | |
| US10929653B2 (en) | Method for the recognition of a moving pedestrian | |
| US20200142047A1 (en) | Spatial imaging using wireless networks | |
| JP2002525641A (en) | Proximity measurement device | |
| EP3342330B1 (en) | Phasor approach to signal to noise ratio measurement evaluation of physiological signals | |
| US20150319634A1 (en) | Acquiring information regarding a volume using wireless networks | |
| CN104380135B (en) | Phase monopulse radar system and object detection method | |
| EP3355289A1 (en) | Apparatus and method for accurate monitoring of space | |
| EP2808693A1 (en) | System and method for determining a position of a living being in a vehicle | |
| KR20160110457A (en) | Vehicle identification | |
| KR20150051679A (en) | Vechicle radar for discriminating false target using variable wave and method for discriminating false target using it | |
| CN111580086B (en) | Life detection method, detection device and electronic equipment | |
| US20190339378A1 (en) | Acquiring information regarding a volume using wireless networks | |
| Godana | Human movement characterization in indoor environment using GNU Radio based radar | |
| JP5761859B2 (en) | Radar link system | |
| Vargas et al. | SDR-based speed measurement with continuous-wave Doppler radar |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190222 |